Cloud Data Engineer

2 weeks ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,10,00,000

Job Opportunity: Data Engineer - Scalable Cloud Solutions

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We are seeking skilled Data Engineers to design, build, and manage robust data pipelines that power AI solutions in the cloud. The role focuses on developing efficient ETL/ELT workflows, ensuring data quality, security, and scalability to support model training, inference, and decision-making processes.

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Key Responsibilities:

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  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS, and Lake Formation for structured, unstructured, and streaming data.">
  • Leverage expertise in programming languages like Python, SQL, and/or Scala/Java for efficient data processing and analysis.">
  • Ensure robust data governance, security, and quality controls throughout the data lifecycle, supporting regulatory compliance and minimizing risks.">
  • Collaborate with cross-functional teams to enable real-time and batch data processing pipelines for AI-driven workflows and applications.">
  • Prepare high-quality datasets optimized for model training, inference, and fine-tuning through close collaboration with AI/ML teams.">
  • Optimize data infrastructure to achieve high performance, scalability, reliability, and cost efficiency while implementing best practices in cloud-native architecture.">
  • Monitor, debug, and resolve issues in data pipelines to ensure high availability, reliability, and minimal latency.">
  • Maintain thorough documentation of data pipelines, architecture, and processes for reproducibility and knowledge transfer.">

Requirements:

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  • At least 3-7 years of hands-on experience in Data Engineering, building data pipelines, and cloud-based data solutions.">
  • Strong understanding of data modeling, data warehousing concepts, and schema design principles.">
  • Proficiency in big data frameworks like Apache Spark, Hadoop, or Flink.">
  • Experience with data pipeline orchestration tools such as Apache Airflow, AWS Step Functions, Dagster, or similar.">
  • Familiarity with DevOps practices, including Infrastructure as Code (Terraform, CloudFormation), CI/CD automation, Git, and containerization (Docker).">
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